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Ipilimumab and Sargramostim in Treating Patients With Metastatic Prostate Cancer

2015-04-15 10:58:00 | BioPortfolio

Published on BioPortfolio: 2015-04-15T10:58:00-0400

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Nivolumab With or Without Ipilimumab in Treating Younger Patients With Recurrent or Refractory Solid Tumors or Sarcomas

This phase I/II trial studies the side effects and best dose of nivolumab when given with or without ipilimumab to see how well they work in treating younger patients with solid tumors or ...

Dinutuximab in Combination With Sargramostim in Treating Patients With Recurrent Osteosarcoma

This phase II trial studies how well dinutuximab works when given with sargramostim in treating patients with osteosarcoma that has come back after treatment (recurrent). Dinutuximab is a ...

Lung-MAP: Nivolumab With or Without Ipilimumab as Second-Line Therapy in Treating Patients With Recurrent Stage IV Squamous Cell Lung Cancer and No Matching Biomarkers

This randomized phase III trial compares nivolumab with ipilimumab and nivolumab alone in treating patients with stage IV squamous cell lung cancer that has come back after previous treatm...

Nivolumab With or Without Ipilimumab in Treating Patients With Persistent or Recurrent Epithelial Ovarian, Primary Peritoneal, or Fallopian Tube Cancer

This phase II trial studies how well nivolumab works with or without ipilimumab in treating patients with epithelial ovarian, primary peritoneal, or fallopian tube cancer that has not resp...

Nivolumab With or Without Ipilimumab in Treating Patients With Metastatic or Unresectable Sarcoma

This randomized phase II trial studies how well nivolumab with or without ipilimumab works in treating patients with sarcoma that has spread from the primary site to other parts of the bod...

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Phase II study of ipilimumab in adolescents with unresectable stage III or IV malignant melanoma.

Ipilimumab is approved for the treatment of advanced melanoma in adults; however, little information on the efficacy and safety of ipilimumab in younger patients is available.

Final analysis of a randomised trial comparing pembrolizumab versus investigator-choice chemotherapy for ipilimumab-refractory advanced melanoma.

To evaluate the protocol-specified final analysis of overall survival (OS) in the KEYNOTE-002 study (NCT01704287) of pembrolizumab versus chemotherapy in patients with ipilimumab-refractory, advanced ...

Synovasure 'quick test' is not as accurate as the laboratory-based α-defensin immunoassay: a systematic review and meta-analysis.

α-defensin is a biomarker which has been described as having a high degree of accuracy in the diagnosis of periprosthetic joint infection (PJI). Current meta-analyses are based on the α-defensin lab...

Phase II Cancer Clinical Trials for Biomarker-Guided Treatments.

The design and analysis of cancer clinical trials with biomarker depend on various factors, such as the phase of trials, the type of biomaker, whether the used biomarker is validated or not, and the s...

Region stability analysis and tracking control of memristive recurrent neural network.

Memristor is firstly postulated by Leon Chua and realized by Hewlett-Packard (HP) laboratory. Research results show that memristor can be used to simulate the synapses of neurons. This paper presents ...

Medical and Biotech [MESH] Definitions

Techniques which study entities using their topological, geometric, or geographic properties and include the dimension of time in the analysis.

A type of analysis in which subjects in a study group and a comparison group are made comparable with respect to extraneous factors by individually pairing study subjects with the comparison group subjects (e.g., age-matched controls).

Absolute, comparative, or differential costs pertaining to services, institutions, resources, etc., or the analysis and study of these costs.

A set of techniques used when variation in several variables has to be studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables.

Statistical models used in survival analysis that assert that the effect of the study factors on the hazard rate in the study population is multiplicative and does not change over time.

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